Principal, Insurance Actuarial Data Science

About the Role

Key Responsibilities

• Lead the actuarial data science strategy for Rivian's insurance products and platforms.
• Design and deploy machine learning algorithms for real-time accident detection and automated causation analysis.
• Measure and quantify the safety impact of Rivian's ADAS and autonomous features across customer populations.
• Build and file new P&C insurance products aligned with Rivian's in-vehicle technology, including usage-based pricing and embedded models.
• Conduct profitability and underwriting analysis for Rivian's growing book of business.
• Act as a senior leader across data, insurance, legal, and cloud platform teams.
• Optimize claims resolution and streamline First Notice of Loss (FNOL) through predictive analytics and sensor-based event validation.
• Manage insurance product regulatory filings and rate filings across multiple states.
• Mentor and develop a high-performing team of actuarial data scientists.

Requirements

• ACAS or FCAS designation from the Casualty Actuarial Society.
• 10+ years of progressive experience in actuarial and/or insurance data science roles.
• Deep experience with personal auto, usage-based insurance, and/or embedded insurance.
• Proven leadership in scaling insurance programs or platforms.
• Strong command of Python, R, SQL, and experience with cloud-based machine learning environments.
• Demonstrated success working with vehicle or sensor data such as GPS and accelerometers.
• Strong executive communication and cross-functional leadership skills.

Nice to Have

• Prior experience launching insurance products for ADAS or autonomous vehicles.
• Expertise in regulatory strategy and multi-state insurance filings.
• Passion for mobility innovation, EV systems, and safety-centric design.

Qualifications

• Educational background implied by professional designations (ACAS or FCAS).

Benefits & Perks

• Salary range for Normal, IL: $135,000 - $185,000 annually.
• Salary range for Irvine, CA: $141,000 - $200,000 annually.
• Compensation will be determined based on experience, location, and other factors.